DBM - Hinton & Salakhutdinov paper

I implemented the whole procedure presented in "An efficient learning procedure for Deep Boltzmann Machines" by Hinton & Salakhutdinov. There're all yaml files and the script to launch the training together with the wrapper class for augmented mnist and the script to augment the dataset. Finally, I added a new way to update the learning rate according to the paper.
This looks way too big to run on travis. This is nice to have as an integration test that we can run occasionally, but we need something much smaller to run once per commit.